Population Structure and Genomic Breed Composition in an Angus–Brahman Crossbred Cattle Population

Crossbreeding is a common strategy used in tropical and subtropical regions to enhance beef production, and having accurate knowledge of breed composition is essential for the success of a crossbreeding program. Although pedigree records have been traditionally used to obtain the breed composition o...

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Main Authors: Mesfin Gobena, Mauricio A. Elzo, Raluca G. Mateescu
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Genetics
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fgene.2018.00090/full
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spelling doaj-0795d192744c40008c8cedcf5463db082020-11-24T23:17:09ZengFrontiers Media S.A.Frontiers in Genetics1664-80212018-03-01910.3389/fgene.2018.00090328751Population Structure and Genomic Breed Composition in an Angus–Brahman Crossbred Cattle PopulationMesfin GobenaMauricio A. ElzoRaluca G. MateescuCrossbreeding is a common strategy used in tropical and subtropical regions to enhance beef production, and having accurate knowledge of breed composition is essential for the success of a crossbreeding program. Although pedigree records have been traditionally used to obtain the breed composition of crossbred cattle, the accuracy of pedigree-based breed composition can be reduced by inaccurate and/or incomplete records and Mendelian sampling. Breed composition estimation from genomic data has multiple advantages including higher accuracy without being affected by missing, incomplete, or inaccurate records and the ability to be used as independent authentication of breed in breed-labeled beef products. The present study was conducted with 676 Angus–Brahman crossbred cattle with genotype and pedigree information to evaluate the feasibility and accuracy of using genomic data to determine breed composition. We used genomic data in parametric and non-parametric methods to detect population structure due to differences in breed composition while accounting for the confounding effect of close familial relationships. By applying principal component analysis (PCA) and the maximum likelihood method of ADMIXTURE to genomic data, it was possible to successfully characterize population structure resulting from heterogeneous breed ancestry, while accounting for close familial relationships. PCA results offered additional insight into the different hierarchies of genetic variation structuring. The first principal component was strongly correlated with Angus–Brahman proportions, and the second represented variation within animals that have a relatively more extended Brangus lineage—indicating the presence of a distinct pattern of genetic variation in these cattle. Although there was strong agreement between breed proportions estimated from pedigree and genetic information, there were significant discrepancies between these two methods for certain animals. This was most likely due to inaccuracies in the pedigree-based estimation of breed composition, which supported the case for using genomic information to complement and/or replace pedigree information when estimating breed composition. Comparison with a supervised analysis where purebreds are used as the training set suggest that accurate predictions can be achieved even in the absence of purebred population information.http://journal.frontiersin.org/article/10.3389/fgene.2018.00090/fullpopulation structuregenomic breed compositioncattleAngusBrahman
collection DOAJ
language English
format Article
sources DOAJ
author Mesfin Gobena
Mauricio A. Elzo
Raluca G. Mateescu
spellingShingle Mesfin Gobena
Mauricio A. Elzo
Raluca G. Mateescu
Population Structure and Genomic Breed Composition in an Angus–Brahman Crossbred Cattle Population
Frontiers in Genetics
population structure
genomic breed composition
cattle
Angus
Brahman
author_facet Mesfin Gobena
Mauricio A. Elzo
Raluca G. Mateescu
author_sort Mesfin Gobena
title Population Structure and Genomic Breed Composition in an Angus–Brahman Crossbred Cattle Population
title_short Population Structure and Genomic Breed Composition in an Angus–Brahman Crossbred Cattle Population
title_full Population Structure and Genomic Breed Composition in an Angus–Brahman Crossbred Cattle Population
title_fullStr Population Structure and Genomic Breed Composition in an Angus–Brahman Crossbred Cattle Population
title_full_unstemmed Population Structure and Genomic Breed Composition in an Angus–Brahman Crossbred Cattle Population
title_sort population structure and genomic breed composition in an angus–brahman crossbred cattle population
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2018-03-01
description Crossbreeding is a common strategy used in tropical and subtropical regions to enhance beef production, and having accurate knowledge of breed composition is essential for the success of a crossbreeding program. Although pedigree records have been traditionally used to obtain the breed composition of crossbred cattle, the accuracy of pedigree-based breed composition can be reduced by inaccurate and/or incomplete records and Mendelian sampling. Breed composition estimation from genomic data has multiple advantages including higher accuracy without being affected by missing, incomplete, or inaccurate records and the ability to be used as independent authentication of breed in breed-labeled beef products. The present study was conducted with 676 Angus–Brahman crossbred cattle with genotype and pedigree information to evaluate the feasibility and accuracy of using genomic data to determine breed composition. We used genomic data in parametric and non-parametric methods to detect population structure due to differences in breed composition while accounting for the confounding effect of close familial relationships. By applying principal component analysis (PCA) and the maximum likelihood method of ADMIXTURE to genomic data, it was possible to successfully characterize population structure resulting from heterogeneous breed ancestry, while accounting for close familial relationships. PCA results offered additional insight into the different hierarchies of genetic variation structuring. The first principal component was strongly correlated with Angus–Brahman proportions, and the second represented variation within animals that have a relatively more extended Brangus lineage—indicating the presence of a distinct pattern of genetic variation in these cattle. Although there was strong agreement between breed proportions estimated from pedigree and genetic information, there were significant discrepancies between these two methods for certain animals. This was most likely due to inaccuracies in the pedigree-based estimation of breed composition, which supported the case for using genomic information to complement and/or replace pedigree information when estimating breed composition. Comparison with a supervised analysis where purebreds are used as the training set suggest that accurate predictions can be achieved even in the absence of purebred population information.
topic population structure
genomic breed composition
cattle
Angus
Brahman
url http://journal.frontiersin.org/article/10.3389/fgene.2018.00090/full
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